Drop-in replacement for torch/numpy einsum, with descriptive variable names in equations
This is a simple wrapper around np.einsum and torch.einsum that allows the use of self-documenting variable names instead of just single letters in the equations. Inspired by the syntax in einops.
For example, instead of writing:
import torch
torch.einsum('bct,bcs->bcts', a, b)
or
import numpy as np
np.einsum('bct,bcs->bcts', a, b)
With this library you can write:
from fancy_einsum import einsum
einsum('batch channels time1, batch channels time2 -> batch channels time1 time2', a, b)
FAQs
Drop-in replacement for torch/numpy einsum, with descriptive variable names in equations
We found that fancy-einsum demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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